AIMC Topic: Solid Waste

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Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Jun 25, 2020
Reliable prediction of municipal solid waste (MSW) generation rates is a significant element of planning and implementation of sustainable solid waste management strategies. In this study, the multi-layer perceptron artificial neural network (MLP-ANN...
Artificial Intelligence Solid Waste Waste Management Neural Networks, Computer
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Time-lagged effects of weekly climatic and socio-economic factors on ANN municipal yard waste prediction models.

Waste management (New York, N.Y.) Nov 27, 2018
Efficient and effective solid waste management requires sufficient ability to predict the operational capacity of a system correctly. Waste prediction models have been widely studied and these models are always being challenged to perform more accura...
Waste Management Socioeconomic Factors Neural Networks, Computer Solid Waste Models, Theoretical
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Comparison of ANN (MLP), ANFIS, SVM, and RF models for the online classification of heating value of burning municipal solid waste in circulating fluidized bed incinerators.

Waste management (New York, N.Y.) Apr 10, 2017
The heating values, particularly lower heating values of burning municipal solid waste are critically important parameters in operating circulating fluidized bed incineration systems. However, the heating values change widely and frequently, while th...
Support Vector Machine Heating Solid Waste Neural Networks, Computer Incineration
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Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part I: System identification and methodology development.

Environmental science and pollution research international Jan 18, 2017
Due to the existence of complexities of heterogeneities, hierarchy, discreteness, and interactions in municipal solid waste management (MSWM) systems such as Beijing, China, a series of socio-economic and eco-environmental problems may emerge or wors...
Beijing Models, Theoretical Fuzzy Logic Solid Waste Nonlinear Dynamics Waste Management
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Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis.

Environmental science and pollution research international Oct 7, 2016
This paper presents the development of a general regression neural network (GRNN) model for the prediction of annual municipal solid waste (MSW) generation at the national level for 44 countries of different size, population and economic development ...
Forecasting Models, Theoretical Developing Countries Neural Networks, Computer Refuse Disposal Solid Waste Developed Countries Waste Management
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Forecasting municipal solid waste generation using artificial intelligence modelling approaches.

Waste management (New York, N.Y.) Jun 11, 2016
Municipal solid waste (MSW) management is a major concern to local governments to protect human health, the environment and to preserve natural resources. The design and operation of an effective MSW management system requires accurate estimation of ...
Fuzzy Logic Solid Waste Waste Management Models, Theoretical Support Vector Machine Queensland Artificial Intelligence Forecasting Neural Networks, Computer
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Artificial neural network based modeling to evaluate methane yield from biogas in a laboratory-scale anaerobic bioreactor.

Bioresource technology Mar 12, 2016
The performance of a laboratory-scale anaerobic bioreactor was investigated in the present study to determine methane (CH4) content in biogas yield from digestion of organic fraction of municipal solid waste (OFMSW). OFMSW consists of food waste, veg...
Waste Products Solid Waste Biofuels Food Hydrogen-Ion Concentration Laboratories Principal Component Analysis Anaerobiosis Fatty Acids, Volatile Bioreactors Methane Neural Networks, Computer Cities Organic Chemicals
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Impact of pH Management Interval on Biohydrogen Production from Organic Fraction of Municipal Solid Wastes by Mesophilic Thermophilic Anaerobic Codigestion.

BioMed research international Dec 27, 2015
The biohydrogen productions from the organic fraction of municipal solid wastes (OFMSW) were studied under pH management intervals of 12 h (PM12) and 24 h (PM24) for temperature of 37 ± 0.1°C and 55 ± 0.1°C. The OFMSW or food waste (FW) along with it...
Waste Management Anaerobiosis Hydrogen Hydrogen-Ion Concentration Hot Temperature Solid Waste
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Prediction of municipal solid waste generation using nonlinear autoregressive network.

Environmental monitoring and assessment Nov 17, 2015
Most of the developing countries have solid waste management problems. Solid waste strategic planning requires accurate prediction of the quality and quantity of the generated waste. In developing countries, such as Malaysia, the solid waste generati...
Environmental Monitoring Malaysia Solid Waste Waste Management Developing Countries Forecasting Models, Theoretical Population Growth Gross Domestic Product Neural Networks, Computer Algorithms
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Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case study of Fars province, Iran.

Waste management (New York, N.Y.) Oct 9, 2015
Predicting the mass of solid waste generation plays an important role in integrated solid waste management plans. In this study, the performance of two predictive models, Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) was verifi...
Neural Networks, Computer Models, Theoretical Regression Analysis Multivariate Analysis Seasons Solid Waste Iran Waste Management
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